Staff Data Scientist
Walmart

Job Info

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Position Summary...

What you'll do...

Here at Walmart, we're driven by an intellectual curiosity that keeps us on the cutting-edge of technical excellence and a seamless customer experience. We're intrigued by the opportunity to engineer the most optimal approach that drives conversions and generates consumer loyalty across every touchpoint of the digital journey.

About the Team

We are looking for a passionate, creative data scientist professional to join Inkiru Data Science team at Walmart Global Tech Division. You will have the unique opportunity to work with massive business and social data generated by Walmart Inc.'s unparalleled online and offline commerce.

You will be responsible for using cutting-edge machine learning, data mining, and optimization techniques to design and prototype robust, scalable predictive models and analytics solutions. You will be a part of a cross-functional team of scientists, engineers, product managers, and business professionals that sit at the intersection of data science, big data, IT infrastructure, and business operations.

What you will do as a member of the team

• Perform hands-on data exploration, processing, and analysis on massive data sets.
• Use machine learning, deep learning and data mining techniques to develop robust predictive models and strategies for Walmart Marketplace Seller Risk Management, including seller application, onboarding, seller payment, seller impersonation, account linking, rating & review, seller lifecycle and monitoring.
• Pull data from warehouse, perform feature engineering, back-test models, compare model performances and communicate the results to stakeholders.
• Research and develop state-of-the-art algorithms that address complex business problems.
• Own seller risk data science solutions development and implementation from end to end.
• Lead and mentor junior data scientists.

Minimum Qualifications

• Master's degree in any STEM field with 4+ years of related experience.
• Technical expertise in data mining, machine learning, and statistical analysis.
• Proficient in machine learning and data mining packages in Python.
• Experience working with large data sets and distributed computing tools (Hadoop, Hive, or Spark).
• Programming skills in one of the following languages: SQL, Java, or JavaScript on a UNIX or Linux platform.

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Preferred Qualifications

• PhD in any STEM field with 2+ years of related experience.
• Experience as a team lead.
• Risk management experience
• GCP/BigQuery hands-on experience

Benefits & Perks

Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Employer

Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, ideas, and opinions - while being inclusive of all people.

About Global Tech

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That's what we do at Walmart Global Tech. We're a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world's largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption.

We're virtual

Working virtually this year has helped us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting. Today, we are reimagining the tech workplace of the future by making a permanent transition to virtual work for most of our team. Of course, being together in person is an important part of our culture and shared success. We'll collaborate in person at a regular cadence and with purpose.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field
As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)

Primary Location...

640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America

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